package com.atlige.gzmall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atlige.common.to.es.SkuEsModel;
import com.atlige.common.utils.Query;
import com.atlige.common.utils.R;
import com.atlige.gzmall.search.config.GzMallElasticsearchConfig;
import com.atlige.gzmall.search.constant.EsConstant;
import com.atlige.gzmall.search.feign.ProductFeignService;
import com.atlige.gzmall.search.service.MallSearchService;
import com.atlige.gzmall.search.vo.AttrResponseVo;
import com.atlige.gzmall.search.vo.BrandVo;
import com.atlige.gzmall.search.vo.SearchParam;
import com.atlige.gzmall.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.aspectj.weaver.ast.Var;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @author Jeremy Li
 * @data 2021/3/30 - 10:33
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    RestHighLevelClient client;
    @Autowired
    ProductFeignService productFeignService;

    /**
     * 自动将页面提交过来的所有请求参数封装成指定的对象
     * @param param 检索的所有参数
     * @return 检索返回结果。包含页面包含的所有信息
     */
    @Override
    public SearchResult search(SearchParam param) {
        // 1、动态构建出查询需要的DSL语句
        SearchResult result= null;
        // 准备检索请求
        SearchRequest request = buildSearchRequest(param);

        try {
            // 2、执行检索请求
            SearchResponse response = client.search(request, GzMallElasticsearchConfig.COMMON_OPTIONS);
            // 3、分析响应数据，封装成需要的格式对象
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }

        return result;
    }

    /**
     * 构建结果数据
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {

        SearchResult result = new SearchResult();
        SearchHits hits = response.getHits();
        // 1、返回的所有查询到的商品
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        // 以下都从聚合中获得

//        // 2、当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attrAgg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attrIdAgg = attrAgg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 属性id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);
            // 属性名
            ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
            attrVo.setAttrName(attrNameAgg.getBuckets().get(0).getKeyAsString());
            // 属性可取值
            ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attrValueAgg.getBuckets().stream().map(item -> item.getKeyAsString()).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
//        // 3、当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brandAgg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brandAgg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            // 品牌id
            brandVo.setBrandId(bucket.getKeyAsNumber().longValue());
            // 品牌的图片信息
            ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
            brandVo.setBrandName(brandImgAgg.getBuckets().get(0).getKeyAsString());
            // 品牌名字
            ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
            brandVo.setBrandName(brandNameAgg.getBuckets().get(0).getKeyAsString());
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
//        // 4、当前所有商品涉及到的所有分类信息
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        ParsedLongTerms catalogAgg = response.getAggregations().get("catalog_agg");
        for (Terms.Bucket bucket : catalogAgg.getBuckets()) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            // 得到分类id
            catalogVo.setCatalogId(bucket.getKeyAsNumber().longValue());
            // 分类的子聚合
            ParsedStringTerms catalogNameAgg = bucket.getAggregations().get("catalog_name_agg");
            catalogVo.setCatalogName(catalogNameAgg.getBuckets().get(0).getKeyAsString());
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
//        // 5、分页信息
        result.setPageNum(param.getPageNum());
        long total = hits.getTotalHits().value;
        result.setTotal(total); // 总记录数
        long totalPages = total % EsConstant.PRODUCT_PAGESIZE == 0 ? total / EsConstant.PRODUCT_PAGESIZE : total / EsConstant.PRODUCT_PAGESIZE + 1;
        result.setTotalPages((int) totalPages); // 总页码
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);
        // 构建面包屑
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1、分析每一个attrs传过来的参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }

                //2、取消了这个面包屑以后，我们要跳转到哪个地方，将请求的地址url里面的当前置空
                //拿到所有的查询条件，去掉当前
                String replace = replaceQueryString(param, attr, "attrs");
                navVo.setLink("http://search.gzmall.com/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(collect);
        }
        // 品牌分类
        if (param.getBrandId() != null && param.getBrandId().size() > 0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            R r = productFeignService.brandInfo(param.getBrandId());
            if (r.getCode() == 0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName() + ";");
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.gzmall.com/list.html?" + replace);
            }
            navs.add(navVo);
        }
        // TODO 分类，不需要导航取消
        return result;
    }

    private String replaceQueryString(SearchParam param, String value, String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value,"UTF-8");
            encode.replace("+","%20");  //浏览器对空格的编码和Java不一样，差异化处理
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return param.get_queryString().replace("&" + key + "=" + encode, "");
    }

    /**
     * 准备检索请求
     * 模糊匹配、过滤（按照属性、分类、品牌、价格区间、库存）、排序、分页、高亮、聚合分析
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        // 构建DSL语句
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /**
         * 模糊匹配、过滤（按照属性、分类、品牌、价格区间、库存）
         */
        //1、构建bool-query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 1.1 must 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        // 1.2 bool - filter - 按照三级分类id
        if (param.getCatalog3Id() != null){
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        // 1.2 bool - filter - 按照品牌id
        if (param.getBrandId() != null && param.getBrandId().size() > 0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        // 1.2 bool - filter - 按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0){
            // attrs=1_5寸:8寸&attrs=2_16G:8G
            for (String attrStr : param.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];
                String[] attrValues = s[1].split(":");
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId))
                        .must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                // 每一个都必须生成一个nestedQuery
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

        // 1.2 bool - filter - 按照是否拥有库存查询
        if (param.getHasStock() != null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }

        // 1.2 bool - filter - 按照价格区间
        if (!StringUtils.isEmpty(param.getSkuPrice())){
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] range = param.getSkuPrice().split("_");
//            if (range.length == 2 && !StringUtils.isEmpty(range[0]) && !StringUtils.isEmpty(range[0])){
//                // 区间
//                rangeQuery.gte(range[0]).lte(range[1]);
//            }else if (range.length == 1){
//                if (param.getSkuPrice().startsWith("_")){
//                    rangeQuery.lte(range[0]);
//                }
//                if (param.getSkuPrice().endsWith("_")){
//                    rangeQuery.gte(range[0]);
//                }
//            }
            if (param.getSkuPrice().startsWith("_")){
                rangeQuery.lte(range[1]);
            }else if (param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(range[0]);
            }else {
                rangeQuery.gte(range[0]).lte(range[1]);
            }
            boolQuery.filter(rangeQuery);
        }
        sourceBuilder.query(boolQuery);
        /**
         * 排序、分页、高亮
         */
        // 2.1 排序
        if (!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        // 2.2 分页
        /*
            PageSize : 5
            pageNum : 1, from : 0, size : 5 [0, 1, 2, 3, 4]
            pageNum : 2, from : 5, size : 5 [5, 6, 7, 8, 9]
            from = (pageNum - 1) * pageSize
         */
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        // 2.3 高亮
        HighlightBuilder builder = null;
        if (!StringUtils.isEmpty(param.getKeyword())){
            builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
        }
        sourceBuilder.highlighter(builder);
        /**
         * 聚合分析
         */
        // 品牌聚合
        TermsAggregationBuilder brandAgg = AggregationBuilders.terms("brand_agg").field("brandId").size(50);
            // 品牌聚合的子聚合
        brandAgg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brandAgg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brandAgg);

        // 分类聚合
        TermsAggregationBuilder catalogAgg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
            // 分类聚合的子聚合
        catalogAgg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(10));
        sourceBuilder.aggregation(catalogAgg);

        // 属性聚合
        NestedAggregationBuilder attrAgg = AggregationBuilders.nested("attr_agg", "attrs");
        // 聚合出当前所有的attrId
        TermsAggregationBuilder attrIdAgg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        // 聚合分析出当前attr_id对应的名字
        TermsAggregationBuilder attrNameAgg = attrIdAgg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        // 聚合分析出当前attr_id对应的所有可取值
        TermsAggregationBuilder attrValueAgg = attrIdAgg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attrAgg.subAggregation(attrIdAgg);
        sourceBuilder.aggregation(attrAgg);

        //System.out.println("构建的DSL" + sourceBuilder.toString());
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }
}
